Sentence examples for multiple samples data from inspiring English sources

Calculating Durov coordinates and plotting the diagram is a tedious and time consuming process especially when large number of multiple samples data sets is used.

To facilitate comparison of multiple samples, data in Figure 7 are normalized to the total abundance of lignin-derived products, and the abundances of products differing only in degree of methylation are summed (e.g. 3 = 3A+3B).

While the temperature versus raw fluorescence traces for the two samples (pure protein and soluble cell extracts) are not identical, the maximum of the derivative of these sigmoidal curves is found at the same temperature and is highly reproducible over multiple samples (data not shown).

Data from studies with multiple experiments and multiple samples per data point were expressed as mean±s.e.e

They are suitable for high-throughput analyses of multiple samples, and data can easily be shared and used for comparisons with other researchers using the same chips.

For patients with multiple tumour samples data on tumour type, treatment and course of disease were gathered from patient files.

Both the large quantity of genes and multiple samples of microarray data make it difficult to represent the entire data set and to identify the interesting genes easily.

However, there is a dearth of tools for interactive visualization of multiple samples with CGH data at varying degrees of resolution, with the ability to display genome annotation data, informative genomic tracks (e.g. GC content) and the results of SV break point analyses.

The discussion and conclusions are combined in Section 4. Resampling statistics is a term used to describe the statistical methods that take multiple samples from a data set and calculate quantities based on the estimations obtained from each new set of data.

Comparison of these 2 maps again reinforces the point that pooled analysis of multiple samples of MRI data can be used to robustly detect disease-related effects.

Additionally, functions to compare multiple samples from various data formats, such as Variant Call Format (Danecek et al., 2011), and options to incorporate other conventional linear or circular representations are essential for more comprehensive study of structural variants.